laion/swesmith-nl2bash-stack-bugsseq

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swesmith-nl2bash-stack-bugsseq

This model is a fine-tuned version of Qwen/Qwen3-8B on the open-athena/GLM-4.6-swesmith-32ep-131k-nosumm-reasoning, the penfever/GLM-4.6-nl2bash-verified-32ep-32k-reasoning, the open-athena/GLM-4.6-stackexchange-overflow-sandboxes-32eps-65k-reasoning and the open-athena/GLM-4.6-inferredbugs-32ep-65k-reasoning datasets.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 4e-05
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —totalevalbatch_size: 64
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 7.0

Training results

Framework versions

• —Transformers 4.57.3
• —Pytorch 2.9.0+cu128
• —Datasets 4.4.1
• —Tokenizers 0.22.1